الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Lung cancer is the most dominant type of cancer causes death in both man
and women whole around the world, the survival rate of lung cancer is poor
with a global 5-year survival rate lower than 20 %. The outcome becomes
more favorable when the cancer has detected early, thus allowing a curative
radiation therapy; so an urgent need is required for enhance target volume
for accurate radiation therapy. Positron emission tomography-computed
tomography (PET-CT) is becoming more and more important in various
aspects of oncology. Until recently, it was used mainly as part of diagnostic
procedures and for evaluation of treatment results. With development of
personalized radiotherapy, volumetric and radiobiological characteristics of
individual tumor have become integrated in the multistep radiotherapy (RT)
planning process. Standard anatomical imaging used to select and delineate
RT target volumes can be enriched by the information on tumor biology
gained by PET-CT. In this work, 11 patients underwanted PET-CT study
were prepared for selection to radiation therapy treatment. The selected
patients were in “early stage hasn’t metastases”. These patients were split
into two groups; group 1 in which the planning target volume-computed
tomography (PTVCT) delineated was larger than planning target volume -
positron emission tomography (PTVPET).This group contains seven
patients. In-group 2 the planning target volume of computed tomography
(PTVCT) was smaller than that of positron emission tomography (PTVPET)
and it contains4 patients. Two plans were created for each patient; the first
plan depends on only computed tomography images as PTVCT and the
second plan depends on PET-CT fused images and PTVPET as target
volume. Physical (Dose Distribution, Dose Volume Histograms (DVHs),
Homogeneity Index (HI), Modified Homogeneity Index (MHI), Target
XIII
Coverage Index (TCI), etc) and radiobiological evaluation (tumor control
probability and normal tissue complication probability) were created for
each plan and compared for each patients. Our results showed a significant
impact of using PET-CT in radiation treatment of lung cancer